How are AI agents changing search behavior? This feels like a bigger shift than just chatbots

You’re right - agents represent a fundamental shift. Here’s the evolution:

The progression:

1. Traditional search: User searches → Clicks results → Decides → Transacts
2. AI chat: User asks → AI recommends → User decides → Transacts
3. AI agents: User delegates → Agent researches → Agent decides → Agent transacts

What changes:

The implication: You need to be in the AGENT’S consideration set, not just discoverable by humans.

What agents evaluate:

• Clear value propositions
• Structured data they can parse
• Competitive positioning
• Trust/quality signals

How to prepare for agentic AI:

Technical requirements:

1. Structured data - Agents need machine-readable information
2. APIs - For direct agent transactions
3. Clear specifications - Pricing, features, availability

Content requirements:

1. Comparison-ready content - Agents compare options
2. Clear value propositions - Why choose you
3. Use-case matching - When you’re the best option

Strategic requirements:

1. Category positioning - Be in consideration sets
2. Trust signals - What agents evaluate
3. Competitive differentiation - Why agents should pick you

The shift: From “help users find us” to “help agents recommend us.”

This is a significant strategic shift. Key takeaways:

The evolution: Users → AI chat → AI agents = Less browsing, more delegation

Preparation priorities:

1. Structured data for agent parsing
2. Clear, comparable value propositions
3. APIs for agent transactions
4. Category positioning for agent recommendations

Monitoring: Track how agents recommend in your category. Am I Cited can help as agents become more prevalent.

Thanks for the forward-looking perspective!